Working Capital Management And Profitability:, Evidence From Jordanian Mining And Extraction Industry Sector

AL-Naif, Khaled Lafi; Shra’ah, Ata E. M. Al

doi:10.33976/1444-027-001-012

Cited by 4 publications

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Relationship between marketing strategy and profitability in industrial firms: Evidence from Jordan

Shubita

2023

Innovative Marketing

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A marketing strategy is a firm’s overall plan for reaching prospective consumers and turning them into permanent customers of their services or products. This paper aims to investigate the link between profitability and marketing strategy to understand how firm profitability influences marketing strategy. Moreover, it assesses the impact of return on assets (ROA) on the company’s marketing strategy. The study uses random effect regression models; a marketing strategy is measured using a sales expenses ratio, which equals sales expenses over total assets. The firm size is a control variable represented by the total sales normal logarithm. The study sample comprises Jordanian industrial shareholder companies; the analysis period is from 2005 to 2020. The study collected 808 annual observations. The findings reveal that ROA has a statistically significant effect on marketing strategy, but its components have no effect. The adj-R2 (the explanatory power) for model 1 is 18.8%, and for model 2 is 11.4%. Therefore, the main conclusion is that ROA components do not have any incremental information content in explaining the marketing strategy variance. The study recommends industrial firms in Jordan increase their profitability by adopting a diverse marketing strategy, focusing on customer satisfaction, investing in market research, using social media, and developing a strong brand image.

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Relationship between marketing strategy and profitability in industrial firms: Evidence from Jordan

Shubita

2023

Innovative Marketing

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The impact of working capital management on cash holdings of large and small firms: evidence from Jordan

Shubita

2019

Investment Management and Financial Innovations

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Liquidity is a firm’s ability to pay its current obligations as they come due and thus remain in business in the short run, which reflects the ease with which assets can be converted to cash. The objective of working capital management (WCM) is to minimize the cost of maintaining liquidity while guarding against the risk of insolvency, working capital policy applies to short-term decisions, and capital structure finance applies to long-term decisions.Several studies have been conducted on the impact of WCM on cash holding levels. The impact of WCM on liquidity and cash holding levels is analyzed in this study. The study also makes a comparison between large- and small-scale firms. Panel data for 62 Jordanian industrial firms covering an eleven-year period (2006–2016) have been analyzed. The descriptive analysis indicates that large firms hold more cash than small firms, as well as more debt, cash flow and growth.The findings of the data set indicate that WCM, as a variable (working capital net of cash), is a strong predictor of firm cash holding levels. When a firm has several cash substitutes, it will maintain low cash levels. The separate analysis shows that there are significant differences between small- and large-scale firms for determinates related to cash holding levels. Firm size and cash flow ratios were strong predictors of cash holding levels for both samples.

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Experimental Work and Discussion of Results on Deepfakes in Stock Prices Using Sentiment Analysis and Machine Learning

Anbarasu¹,

Karuppusamy²,

Prabhu³

et al. 2023

Advances in Multimedia and Interactive Technologies

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In the field of artificial intelligence, the employment of computer algorithms that develop themselves mechanically as they get more and more experience in experimental work and discussion of results on deepfakes is essential to the research process. It is frequently thought of as being in close proximity to artificial intelligence. Machine learning is a set of techniques that generates a model by making use of sample data, commonly referred to as training data, in order to make predictions about the future without actively attempting to do so, by separating the various types of tweets taken from the data on Twitter regarding a number of different companies. A classification algorithm was applied to the data that was collected and used in order to categorise the tweets. In addition, the OHLCV of the data from a number of different organisations is taken into account in order to improve efficiency.

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Working Capital Management And Profitability:, Evidence From Jordanian Mining And Extraction Industry Sector

Cited by 4 publications

References 0 publications

Relationship between marketing strategy and profitability in industrial firms: Evidence from Jordan

Relationship between marketing strategy and profitability in industrial firms: Evidence from Jordan

The impact of working capital management on cash holdings of large and small firms: evidence from Jordan

Experimental Work and Discussion of Results on Deepfakes in Stock Prices Using Sentiment Analysis and Machine Learning

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